Sharper bounds for uniformly stable algorithms O Bousquet, Y Klochkov, N Zhivotovskiy Conference on Learning Theory, 610-626, 2020 | 138 | 2020 |
Stability and Deviation Optimal Risk Bounds with Convergence Rate Y Klochkov, N Zhivotovskiy Advances in Neural Information Processing Systems 34, 5065-5076, 2021 | 66 | 2021 |
Uniform Hanson-Wright type concentration inequalities for unbounded entries via the entropy method Y Klochkov, N Zhivotovskiy | 36 | 2020 |
Robust k-means clustering for distributions with two moments Y Klochkov, A Kroshnin, N Zhivotovskiy The Annals of Statistics 49 (4), 2206-2230, 2021 | 26 | 2021 |
Spin glass to paramagnetic transition and triple point in Spherical SK model IM Johnstone, Y Klochkov, A Onatski, D Pavlyshyn arXiv preprint arXiv:2104.07629, 2021 | 11 | 2021 |
Robustifying markowitz A Petukhina, Y Klochkov, WK Härdle, N Zhivotovskiy Journal of Econometrics 239 (2), 105387, 2024 | 10 | 2024 |
Post-hoc bias scoring is optimal for fair classification W Chen, Y Klochkov, Y Liu arXiv preprint arXiv:2310.05725, 2023 | 8 | 2023 |
Sonic: Social network analysis with influencers and communities CYH Chen, WK Härdle, Y Klochkov Journal of Econometrics 228 (2), 177-220, 2022 | 8 | 2022 |
Trustworthy LLMs: a survey and guideline for evaluating large language models’ alignment. arXiv Y Liu, Y Yao, JF Ton, X Zhang, R Guo, H Cheng, Y Klochkov, MF Taufiq, ... Preprint posted online August 10, 2023 | 5 | 2023 |
An edge CLT for the log determinant of Gaussian ensembles IM Johnstone, Y Klochkov, A Onatski, D Pavlyshyn arXiv preprint arXiv:2011.13723, 2020 | 4 | 2020 |
An edge CLT for the log determinant of Wigner ensembles IM Johnstone, Y Klochkov, A Onatski, D Pavlyshyn arXiv preprint arXiv:2011.13723, 2020 | 3* | 2020 |
Spin glass to paramagnetic transition and triple point in spherical SK model IM Johnstone, Y Klochkov, A Onatski, D Pavlyshyn Journal of Statistical Physics 191 (8), 99, 2024 | 1 | 2024 |
Language processing Y Klochkov, Y Liu US Patent App. 18/821,829, 2024 | | 2024 |
System and method for concept removal Y Klochkov, TON Jean-Francois, R Guo, Y Liu, H Li US Patent App. 18/658,582, 2024 | | 2024 |
Revisiting inverse Hessian vector products for calculating influence functions Y Klochkov, Y Liu arXiv preprint arXiv:2409.17357, 2024 | | 2024 |
Deep Concept Removal Y Klochkov, JF Ton, R Guo, Y Liu, H Li arXiv preprint arXiv:2310.05755, 2023 | | 2023 |
Sieve maximum likelihood estimation in a semi-parametric regression model with errors in variables D Belomestny Deutsche Nationalbibliothek, 2016 | | 2016 |
and Probability P CÉNAC, A GODICHON-BAGGIONI, B PORTIER, M OTTO, ... | | |
Explaining recommendation systems through contrapositive perturbations JF Ton, Y Klochkov, Y Liu, H Li | | |
SUPPLEMENT TO “ROBUST K-MEANS CLUSTERING FOR DISTRIBUTIONS WITH TWO MOMENTS” BY YEGOR KLOCHKOV, ALEXEY KROSHNIN 2 AND NIKITA ZHIVOTOVSKIY 3 Y KLOCHKOV | | |